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Machine Learning Contract Remote Jobs in Fremont, CA

ServiceNow

Staff Machine Learning Engineer

Santa Clara, CA · On-site +1

$176K - $308K/yr

You will play a major part in building AI and Machine Learning (ML) solutions that transform the ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

New

ServiceNow

Staff Machine Learning Engineer

Santa Clara, CA · On-site +1

$176K - $308K/yr

You will play a major part in building AI and Machine Learning (ML) solutions that transform the ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

New

ServiceNow

Staff Machine Learning Engineer

Santa Clara, CA · On-site +1

$176K - $308K/yr

You will play a major part in building AI and Machine Learning (ML) solutions that transform the ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

New

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All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Fremont, CA

Machine Learning Contract Remote information

See Fremont, CA salary details

$27.9K

$46.6K

$96.3K

How much do machine learning contract remote jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning contract remote in Fremont, CA is $46,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,400.00 per year, depending on experience, location, and employer.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in Fremont, CA?

For Machine Learning Contract Remote jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract Remote jobs in Fremont, CA look for?

The top searched job categories for Machine Learning Contract Remote jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Machine Learning Contract Remote jobs?

Cities near Fremont, CA with the most Machine Learning Contract Remote job openings:

Machine Learning Contract Remote jobs near you

Machine Learning - Query Optimization Architect

LaBine and Associates

San Mateo, CA • Remote

Full-time

Medical, Dental, Vision

Re-posted 28 days ago

Job description

If you love creating impactful data products, this is a great role for you This is an ideal role for an energetic person who is looking to join a passionate team of world-class researchers and be part of the exciting startup journey

In this remote-friendly role, you will be responsible for path-breaking innovation on the next generation analytics engine.  As part of the founding team, you will create the best-in-class "data learning" optimizer delivering 10x to 100x runtime speed-ups against the most popular cloud data warehouses

Requirements

  • 5+ years of experience in building cost-based query optimizers

  • Solid experience in delivering high-value cloud data products over several product iterations

  • Deep experience with relational databases, NoSQL and data lakes

  • Familiarity with OLAP databases

  • Strong background in Java, Python

  • Familiar with the Git workflow, open-source projects on Github

  • Experience and passion for building complex technological solutions in a fast-paced and unstructured start-up environment

  • Comfortable working quickly, with lots of iterations, and shipping often

  • Excellent communication, collaboration, and interpersonal skills: empathy, listening, teamwork, and a great sense of responsibility

  • Willingness to learn and take on new challenges every day

Bonus Points

  • Experience working with cloud file systems and in-memory databases

  • Familiarity with BI tools

  • Great hacking and debugging skills

  • DevOps skills using AWS, GCP and Azure services

Perks

  • Working with the world’s leading researchers in machine learning and approximate query processing to turn AI algorithms into scalable and automated cloud products

  • A generous equity and salary package

  • Excellent medical, vision, and dental coverage

  • H1B work visa sponsorship

  • Free meals and snacks

  • Childcare vouchers


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About LaBine and Associates

Sourced by ZipRecruiter

LaBine and Associates is a full service talent acquisition firm specializing in executive search for a myriad of industries. Through our partnerships with experienced associates, we can also provide staffing support, expert consultants, and interim executives for your company’s needs. We have deep industry knowledge with understanding in multiple industries. Our specialists include experts in banking/finance, HR/Legal, Technology, Health Care, Life Sciences, Engineering, Energy, Supply Chain, Mining, Agribusiness and manufacturing.

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

San Mateo, CA, US

Year founded

2013

Social media

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